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Article
Publication date: 1 October 2001

Hongjie Wang, Guoqing Ding, Yao Shun, Pingping Jiang and Guozheng Yan

Flexible automation robotic systems and off‐line programming methods have recently received much attention. Studies the problem of robot auto‐marking and auto‐cutting of…

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Abstract

Flexible automation robotic systems and off‐line programming methods have recently received much attention. Studies the problem of robot auto‐marking and auto‐cutting of shipbuilding panels, using an integrated computer aided design/manufacturing (CAD/CAM) system based on computer technology and off‐line programming of the robot. The following three points are focused on in this paper: marking and cutting information of the panel’s CAD model; measurement of the panel’s deformation and its compensation algorithm; robot auto‐making and auto‐cutting of the panel using the CAM system. Robot auto‐marking and auto‐cutting of shipbuilding panels solves the difficulty associated with panel marking and cutting by hand. Furthermore this system possesses high processing precision and automatically compensates for the deformation of the panel. Our experiments prove the feasibility and efficiency of this system at the end of this paper.

Details

Industrial Robot: An International Journal, vol. 28 no. 5
Type: Research Article
ISSN: 0143-991X

Keywords

Expert briefing
Publication date: 23 March 2023

The outcomes further tighten the grip of the Communist Party and President Xi Jinping personally over the government and the private economy. Increased representation of delegates…

Details

DOI: 10.1108/OXAN-DB277915

ISSN: 2633-304X

Keywords

Geographic
Topical
Article
Publication date: 9 February 2023

Guoqing Zhao, Jana Suklan, Shaofeng Liu, Carmen Lopez and Lise Hunter

In a competitive environment, eHealth small and medium-sized enterprises’ (SMEs’) barriers to survival differ from those of large enterprises. Empirical research on barriers to…

Abstract

Purpose

In a competitive environment, eHealth small and medium-sized enterprises’ (SMEs’) barriers to survival differ from those of large enterprises. Empirical research on barriers to eHealth SMEs in less prosperous areas has been largely neglected. This study fills this gap by employing an integrated approach to analyze barriers to the development of eHealth SMEs. The purpose of this paper is to address this issue.

Design/methodology/approach

The authors collected data through semi-structured interviews and conducted thematic analysis to identify 16 barriers, which were used as inputs into total interpretive structural modeling (TISM) to build interrelationships among them and identify key barriers. Cross-impact matrix multiplication applied to classification (MICMAC) was then applied validate the TISM model and classify the 16 barriers into four categories.

Findings

This study makes significant contributions to theory by identifying new barriers and their interrelationships, distinguishing key barriers and classifying the barriers into four categories. The authors identify that transcultural problems are the key barrier and deserve particular attention. eHealth SMEs originating from regions with cultural value orientations, such as hierarchy and embeddedness, that differ from the UK’s affective autonomy orientation should strengthen their transcultural awareness when seeking to expand into UK markets.

Originality/value

By employing an integrated approach to analyze barriers that impede the development of eHealth SMEs in a less prosperous area of the UK, this study raises entrepreneurs’ awareness of running businesses in places with different cultural value orientations.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 30 no. 2/3
Type: Research Article
ISSN: 1355-2554

Keywords

Article
Publication date: 12 July 2022

Shutian Wang, Yan Lin, Yejin Yan and Guoqing Zhu

This study explores the direct relationship between social media user-generated content (UGC), online search traffic and offline light vehicle sales of different models.

Abstract

Purpose

This study explores the direct relationship between social media user-generated content (UGC), online search traffic and offline light vehicle sales of different models.

Design/methodology/approach

The long-run equilibrium relationship and short-run dynamic effects between the valence and volume of UGC, online search traffic and offline car sales are analyzed by applying the autoregressive distribution lag (ARDL) model.

Findings

The study found the following. (1) In the long-run relationship, the valence of online reviews on social media platforms is significantly negatively correlated with the sales of all models. However, in the short-run, the valence of online reviews has a significant positive correlation with all models in different lag periods. (2) The volume of online reviews is significantly positively correlated with the sales of all models in the long run. However, in the short run, the relationship between the volume of online reviews and the sales of lower-sales-volume cars is uncertain. There is a significant positive correlation between the volume of reviews and the sales of higher-sales-volume cars. (3) Online search traffic has a significantly negative correlation with the sales of all models in the long run. However, in the short run, there is no consistent conclusion on the relationship between online search traffic and car sales.

Originality/value

This study provides a reference for managers to use in their efforts to improve offline high-involvement product sales using online information.

Details

Kybernetes, vol. 52 no. 11
Type: Research Article
ISSN: 0368-492X

Keywords

Expert briefing
Publication date: 20 June 2022

Xi Jinping is positioned to begin a third term as Party leader, despite apparent misjudgements and setbacks this year, though Chinese elite politics are so opaque that his…

Details

DOI: 10.1108/OXAN-DB270933

ISSN: 2633-304X

Keywords

Geographic
Topical
Book part
Publication date: 6 June 2016

Abstract

Details

Social Conflict and Harmony: Tourism in China’s Multi-Ethnic Communities
Type: Book
ISBN: 978-1-78441-356-9

Article
Publication date: 7 November 2016

Ye Liu and Changjiang Lyu

The performance of the first batch of listed companies since the restart of new initial public offerings (IPOs) in January 2014 and their accounting information face repeated and…

Abstract

Purpose

The performance of the first batch of listed companies since the restart of new initial public offerings (IPOs) in January 2014 and their accounting information face repeated and volatile questioning from different sides. This paper aims to take Guirenniao (China) Co. Ltd. (GRN for short), one of the first batch of listed companies in 2014 that suffered performance decline, as an example to analyze how it managed earnings before IPO.

Design/methodology/approach

This paper examines earnings management signs that exist in GRN through analysis of its financial statements compared to those of its industry peers. This paper then uses the modified Jones model to detect its accrual earnings management and build three models, which are abnormal levels of cash flows from operations, abnormal production costs and abnormal discretionary expenses, to detect real earnings management.

Findings

This paper finds that GRN managed earnings through accrual and real activities in 2012 and 2013. Finally, this paper provides evidence on the specific methods of earnings management, which are easing credit policy to recognize revenue in advance, abnormal expansion, decreasing costs and connected transactions.

Originality/value

This paper examines earnings management signs exist in GRN through analysis of its financial statements comparing to those of its industry peers. This paper then uses the modified Jones Model to detect its accrual earnings management and build three models which are abnormal levels of cash flows from operations, abnormal production costs and abnormal discretionary expenses to detect real earnings management.

Details

Nankai Business Review International, vol. 7 no. 4
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 3 January 2017

Mojtaba Kazemi Kelishami and Esmail Lakzian

The purpose of this paper is to report the result of a numerical investigation of film cooling performance on a flat plate for finding optimum blowing ratios.

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Abstract

Purpose

The purpose of this paper is to report the result of a numerical investigation of film cooling performance on a flat plate for finding optimum blowing ratios.

Design/methodology/approach

Steady-state simulations have been performed, and the flow has been considered incompressible. Calculations have been performed with 3D finite-volume method and the k-e turbulence model.

Findings

The adiabatic film cooling effectiveness and the effects of density ratio (DR), blowing ratio (M) and main stream turbulence intensity (Tu), coolant penetration, hole incline and diameter are studied. The temperature and film cooling effectiveness contours, centerline and laterally film cooling effectiveness are presented for these cases. Results show that the cases with smaller Tu have better effectiveness. In the console, using the air coolant and in cylindrical hole cases, using CO2 coolant fluid has higher effectiveness. The results indicated that there is an optimum blowing ratio in the cylindrical hole cases to optimize the performance of new gas turbines.

Research limitations/implications

Investigation of optimum blowing ratio for the convex surfaces and turbine blades is a prospective topic for future studies.

Practical implications

The motivation of this study comes from several industrial applications such as film cooling of gas turbine components. This research gives the best blowing ratio for receiving maximum cooling effectiveness with minimum coolant velocity.

Originality/value

This study optimizes the blowing ratio for film cooling on a flat plate.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 27 no. 1
Type: Research Article
ISSN: 0961-5539

Keywords

Article
Publication date: 7 October 2014

Martin Aruldoss, Miranda Lakshmi Travis and V. Prasanna Venkatesan

Business intelligence (BI) has been applied in various domains to take better decisions and it provides different level of information to its stakeholders according to the…

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Abstract

Purpose

Business intelligence (BI) has been applied in various domains to take better decisions and it provides different level of information to its stakeholders according to the information needs. The purpose of this paper is to present a literature review on recent works in BI. The two principal aims in this survey are to identify areas lacking in recent research, thereby offering potential opportunities for investigation.

Design/methodology/approach

To simplify the study on BI literature, it is segregated into seven categories according to the usage. Each category of work is analyzed using parameters such as purpose, domain, problem identified, solution applied, benefit and outcome.

Findings

The BI contribution in various domains, ongoing research in BI, the convergence of BI domains, problems and solutions, results of congregated domains, core problems and key solutions. It also outlines BI and its components composition, widely applied BI solutions such as algorithm-based, architecture-based and model-based solutions. Finally, it discusses BI implementation issues and outlines the security and privacy policies adopted in BI environment.

Research limitations/implications

In this survey BI has been discussed in theoretical perspective whereas practical contribution has been given less attention.

Originality/value

A comprehensive survey on BI which identifies areas lacking in recent research and providing potential opportunities for investigation.

Details

Journal of Enterprise Information Management, vol. 27 no. 6
Type: Research Article
ISSN: 1741-0398

Keywords

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